Jobs at TWG Global

You will build agentic AI products across web, backend, and iOS, owning features end-to-end and mentoring junior teammates.

Lead real-time and post-trade surveillance for CFTC-regulated event contracts, investigate and document suspicious trading behavior, and escalate findings. Define detection logic and tune alerts with engineering and data science, build surveillance frameworks and controls mapped to DCM principles, support KYC/AML monitoring, and partner with Legal, Risk, and Compliance to scale the function.

Lead the design and implementation of technical solutions, translating business requirements into actionable architectures while collaborating with clients and internal teams.

The Senior Software Engineer will design and build full-stack applications using React and Java, ensuring scalable systems, mentoring juniors, and collaborating with cross-functional teams.

As a Senior iOS Software Engineer, you will lead the development of a native mobile app for an AI platform, manage architecture, UI, and networking, and collaborate with backend and AI teams. Responsibilities include managing App Store releases, implementing push notifications, and mentoring junior engineers.

Ownership of hardened batch pipelines, feature infrastructure, model governance (versioning, lineage, reproducibility), and third-party data integrations. Implement MLOps tooling for consistent, auditable deployments, keep systems audit-ready, and integrate surveillance, KYC, screening, market, and blockchain data sources in a regulated environment.

Contribute to development, deployment, and monitoring of production ML models; perform data cleaning, analysis, and visualization; collaborate with cross-functional teams to deliver AI-driven business solutions and communicate insights to stakeholders.

Lead end-to-end design and deployment of production AI systems for marketing, sales, and operations. Build predictive models, experimentation and optimization frameworks, and LLM-powered applications (RAG, orchestration, structured extraction). Translate business workflows into production systems, partner with engineers to harden solutions, own client relationships, and mentor data scientists and engineers.

Lead end-to-end on-chain data ingestion, attribution, and composability decoding for DeFi surveillance. Build and integrate wallet-clustering feeds, trace funds across chains and bridges, co-develop optimistic-oracle (UMA) surveillance R&D, and deliver versioned on-chain feature tables for detection and validation systems.

Own and maintain the entity graph and entity-resolution stack to link accounts, wallets, and behaviors. Develop stable clustering and graph-representation methods, detect coordinated/collusive behavior (including DeFi sybil detection), fuse vendor attribution with on-chain clustering, produce graph features/embeddings, and partner with engineering for production pipelines.

Lead feature engineering and modeling for surveillance systems across exchange and DeFi venues. Develop supervised and unsupervised anomaly detectors, improve model calibration and scalability, evolve architectures as labels accumulate, and partner with validation and analyst teams to build labeling pipelines and maintain production ML models.